Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use surprisedPikachu007/tomato-disease-detection_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use surprisedPikachu007/tomato-disease-detection_V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="surprisedPikachu007/tomato-disease-detection_V2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("surprisedPikachu007/tomato-disease-detection_V2") model = AutoModelForImageClassification.from_pretrained("surprisedPikachu007/tomato-disease-detection_V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from surprisedPikachu007/tomato-disease-detection_V2: direct link, hf CLI and curl.
- Browser
- Download file 1.45 kB
-
https://huggingface.co/surprisedPikachu007/tomato-disease-detection_V2/resolve/1bb3e012f97759ece16fcba2e1ff77295af3c7b0/config.json
- Command line
-
hf download hf://surprisedPikachu007/tomato-disease-detection_V2@1bb3e012f97759ece16fcba2e1ff77295af3c7b0/config.json
-
curl -L -o config.json https://huggingface.co/surprisedPikachu007/tomato-disease-detection_V2/resolve/1bb3e012f97759ece16fcba2e1ff77295af3c7b0/config.json
1.45 kB
| { | |
| "_name_or_path": "google/vit-base-patch16-224-in21k", | |
| "architectures": [ | |
| "ViTForImageClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "encoder_stride": 16, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "Tomato___Bacterial_spot", | |
| "1": "Tomato___Early_blight", | |
| "10": "healthy", | |
| "2": "Tomato___Late_blight", | |
| "3": "Tomato___Leaf_Mold", | |
| "4": "Tomato___Septoria_leaf_spot", | |
| "5": "Tomato___Spider_mites Two-spotted_spider_mite", | |
| "6": "Tomato___Target_Spot", | |
| "7": "Tomato___Tomato_Yellow_Leaf_Curl_Virus", | |
| "8": "Tomato___Tomato_mosaic_virus", | |
| "9": "affected" | |
| }, | |
| "image_size": 224, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "Tomato___Bacterial_spot": "0", | |
| "Tomato___Early_blight": "1", | |
| "Tomato___Late_blight": "2", | |
| "Tomato___Leaf_Mold": "3", | |
| "Tomato___Septoria_leaf_spot": "4", | |
| "Tomato___Spider_mites Two-spotted_spider_mite": "5", | |
| "Tomato___Target_Spot": "6", | |
| "Tomato___Tomato_Yellow_Leaf_Curl_Virus": "7", | |
| "Tomato___Tomato_mosaic_virus": "8", | |
| "affected": "9", | |
| "healthy": "10" | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "model_type": "vit", | |
| "num_attention_heads": 12, | |
| "num_channels": 3, | |
| "num_hidden_layers": 12, | |
| "patch_size": 16, | |
| "problem_type": "single_label_classification", | |
| "qkv_bias": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.26.1" | |
| } | |